Kauno Žalgiris II vs Šiauliai: result 2-3 and analysis
1 LygaRegular Season - 11Kick-off on August 16, 2020 at 02:00 PM (UTC)VDU Valdo Adamkaus stadionas, Ringaudai
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What was the result of Kauno Žalgiris II vs Šiauliai?
Šiauliai won 2-3 on August 16, 2020.
Goalscorers
- 9′?Šiauliai
- 12′?Šiauliai
- 33′?Kauno Žalgiris II
- 57′?Kauno Žalgiris II
- 90′?Šiauliai
What is the recent form of both teams?
Over their last 10 matches in all competitions, Kauno Žalgiris II have 1 win, 0 draws and 9 defeats; Šiauliai have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 8, 2020 | Hegelmann Litauen(away) | 0-2 | 1 Lyga |
| Aug 1, 2020 | Minija(home) | 0-3 | 1 Lyga |
| Jul 24, 2020 | Jonava(away) | 0-6 | 1 Lyga |
| Jul 19, 2020 | BFA(home) | 3-2 | 1 Lyga |
| Jul 12, 2020 | Trakai II(away) | 1-4 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 7, 2020 | Džiugas Telšiai(home) | 1-3 | 1 Lyga |
| Aug 1, 2020 | Vilniaus Vytis(away) | 0-1 | 1 Lyga |
| Jul 24, 2020 | Dainava(home) | 2-1 | 1 Lyga |
| Jul 17, 2020 | Nevėžis(away) | 0-2 | 1 Lyga |
| Jul 10, 2020 | Panevėžys II(home) | 4-0 | 1 Lyga |
How many goals should we expect?
Kauno Žalgiris II score 0.8 and concede 3.1 goals per match over their last 10; Šiauliai score 1.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kauno Žalgiris II | 0.8 | 3.1 | 0 | 4/10 | 7/10 |
| Šiauliai | 1.7 | 1.7 | 2 | 6/15 | 10/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Kauno Žalgiris II | 27 | 7 | 2 | 18 | 26 | 48 | 23 |
A question about Kauno Žalgiris II vs Šiauliai?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy